Waterhouse J, Edwards B, Nevill A, Atkinson G, Reilly T, Davies P, Godfrey R
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, UK.
Ergonomics. 2000 Oct;43(10):1514-27. doi: 10.1080/001401300750003943.
A total of 39 subjects were studied after a flight from the UK to either Sydney or Brisbane (10 time-zones to the east). Subjects varied widely in their age, their athletic ability, whether or not they were taking melatonin, and in their objectives when in Australia. For the first 6 days after arrival, subjects scored their jet-lag five times per day and other subjective variables up to five times per day, using visual analogue scales. For jet-lag, the scale was labelled 0 = no jet-lag to 10 = very bad jet-lag; the extremes of the other scales were labelled - 5 and + 5, indicating marked changes compared with normal, and the centrepoint was labelled 0 indicating 'normal'. Mean daily values for jet-lag and fatigue were initially high (+ 3.65 +/- 0.35 and + 1.55 +/- 0.22 on day 1, respectively) and fell progressively on subsequent days, but were still raised significantly (p < 0.05) on day 5 (fatigue) or day 6 (jet-lag). In addition, times of waking were earlier on all days. By contrast, falls in concentration and motivation, and rises in irritability and nocturnal wakings, had recovered by day 4 or earlier, and bowel activity was less frequent, with harder stools, on days 1 and 2 only. Also, on day 1, there was a decrease in the ease of getting to sleep (- 1.33 +/- 0.55), but this changed to an increase from day 2 onwards (for example, + 0.75 +/- 0.25 on day 6). Stepwise regression analysis was used to investigate predictors of jet-lag. The severity of jet-lag at all the times that were measured was strongly predicted by fatigue ratings made at the same time. Its severity at 08:00 h was predicted by an earlier time of waking, by feeling less alert 30 min after waking and, marginally, by the number of waking episodes. Jet-lag at 12:00 and 16:00 h was strongly predicted by a fall of concentration at these times; jet-lag at mealtimes (12:00, 16:00 and 20:00 h) was predicted by the amount of feeling bloated. Such results complicate an exact interpretation that can be placed on an assessment of a global term such as jet-lag, particularly if the assessment is made only once per day.
共有39名受试者参与了这项研究,他们从英国飞往悉尼或布里斯班(向东跨越10个时区)。受试者在年龄、运动能力、是否服用褪黑素以及在澳大利亚的目的等方面存在很大差异。抵达后的前6天,受试者每天使用视觉模拟量表对时差反应进行5次评分,对其他主观变量每天最多进行5次评分。对于时差反应,量表标记为0 = 无时差反应至10 = 时差反应非常严重;其他量表的两端标记为 -5和 +5,表示与正常情况相比有明显变化,中心点标记为0表示“正常”。时差反应和疲劳的每日平均值最初较高(第1天分别为 +3.65 ± 0.35和 +1.55 ± 0.22),随后几天逐渐下降,但在第5天(疲劳)或第6天(时差反应)仍显著升高(p < 0.05)。此外,所有日子的醒来时间都更早。相比之下,注意力和动力的下降,以及易怒和夜间醒来次数的增加,在第4天或更早时就已恢复,而肠道活动仅在第1天和第2天不太频繁,粪便更硬。同样,在第1天,入睡的难易程度有所下降(-1.33 ± 0.55),但从第2天起变为增加(例如,第6天为 +0.75 ± 0.25)。采用逐步回归分析来研究时差反应的预测因素。在所有测量时间点的时差反应严重程度都受到同时进行的疲劳评分的强烈预测。早上8点时的时差反应严重程度可通过更早的醒来时间、醒来30分钟后感觉不那么警觉以及轻微地通过醒来次数来预测。中午12点和下午4点时的时差反应受到此时注意力下降的强烈预测;用餐时间(中午12点、下午4点和晚上8点)的时差反应可通过腹胀感的程度来预测。这些结果使得对时差反应等整体术语评估的准确解释变得复杂,特别是如果每天只进行一次评估的话。